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2. Cryptic diversity in southern African kelp

Author

Madeira, Pedro, Reddy, Maggie M., Assis, Jorge, Bolton, John J., Rothman, Mark D., Anderson, Robert J., Kandjengo, Lineekela, Kreiner, Anja, Coleman, Melinda A., Wernberg, Thomas, De Clerck, Olivier, Leliaert, Frederik, Bandeira, Salomão, Ada, Abdul M., Neiva, João, Pearson, Gareth A., and Serrão, Ester A.

Published
2024
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4. Semaglutide and cardiovascular outcomes in patients with obesity and prevalent heart failure: a prespecified analysis of the SELECT trial

Author

Abe, Mitsunori, Abhaichand, Rajpal K, Abhayaratna, Walter P, Abhyankar, Atul, Abidin, Imran B Zainal, Abou Assi, Hiba, Accini Mendoza, Jose L, Adas, Mine, Agaiby, John M, Agarwal, Devendra K, Agha, Maher, Ahmed, Azazuddin, Ahtiainen, Petteri, Aigner, Elmar, Ajay, Naik, Ali, Norsiah, Al-Karadsheh, Amer, Allison, Roy, Allison, Dale C, Alpenidze, Diana, Altuntas, Yuksel, Al-Zoebi, Ayham, Ambuj, Roy, Amerena, John, Anderson, Robert J, Ando, Toshiaki, Andrews, Robert, Antonova, Elizaveta, Appel, Karl-Friedrich, Arantes, Flávia B, Araz, Mustafa, Arbel, Yaron, Arenas León, José L, Argyrakopoulou, Georgia, Ariani, Mehrdad, Arias Mendoza, Maria A, Arif, Ahmed A, Arneja, Jaspal, Aroda, Vanita R, Aronne, Louis J, Arstall, Margaret, Asamoah, Njaimeh, Asanin, Milika, Audish, Hanid, Avram, Rodica, Badat, Aysha, Badiu, Corin V, Bakdash, Wa'el, Bakiner, Okan S, Bandezi, Vuyokazi N, Bang, Liew H, Bansal, Sandeep, Baranyai, Marietta, Barbarash, Olga, Barber, Mark, Barnum, Otis, Barone Rochette, Gilles, Bashkin, Amir, Baum, Seth, Bays, Harold E, Bazzoni Ruiz, Alberto E, Beckowski, Maciej, Beerachee, Yaswin, Bellary, Srikanth, Belousova, Lidia, Berk, Martin, Bernstein, Marc, Berra, Cesare, Beshay, Isaac, Bhagwat, Ajit, Bhan, Arti, Biggs, William C, Billings, Liana, Bitar, Fahed, Block, Bradley, Bo, Simona, Bogdanski, Pawel, Bolshakova, Olga O, Boshchenko, Alla A, Bosworth, Hayden, Botero Lopez, Rodrigo, Bôttcher, Morten, Bourgeois, Ronald, Brautigam, Donald, Breton, Cristian F, Broadley, Andrew, Brockmyre, Andrew P, Brodie, Steven K, Bucci, Marco, Budincevic, Hrvoje, Budoff, Matthew J, Buffman, Barry, Buljubasic, Nediljka, Buranapin, Supawan, Burgess, Lesley, Burguera, Bartolomé, Buriakovska, Olena, Buscemi, Silvio, Busch, Robert, Buse, John B, Buynak, Robert, Byrne, Maria, Caceaune, Elena, Cadena Bonfanti, Alberto J, Calinescu, Cornell V, Call, Robert S, Canecki Varzic, Silvija, Cannon, Kevin, Capehorn, Matt, Cariou, Bertrand, Carr, Jeffrey, Carrillo-Jimenez, Rodolfo, Casas, Marcelo, Castro, Almudena, Celik, Ahmet, Cercato, Cintia, Cermak, Ondrej, Cha, James Y, Chacon, Carolina, Chaicha-Brom, Tira, Chandra, Sandeep, Chettibi, Mohamed, Chevts, Julia, Christopher, Johann, Chrustowski, Witold, Cif, Adriana, Clark, Rebecca, Clark, Wayne, Clifford, Piers, Coetzee, Kathleen, Cogni, Giulia, Colao, Anna Maria, Colquhoun, David M, Concha, Mauricio, Condit, Jonathan, Constance, Christian, Constantin, Ciprian, Constantinescu, Silviana, Corbett, Clive, Cornett, George M, Correia, Marcelo, Cortinovis, Fiorenzo, Cosma, Dana, Creely, Steven, Cross, David, Curtis, Brian, Czochra, Wojciech, Daboul, Nizar Y, Dagdelen, Selcuk, D'agostino, Ronald, Dang, Cuong, Datta, Sudip, Davuluri, Ashwini K, Dawood, Saleem Y, De Jong, Douwe M, De La Cuesta, Carmen, De Los Rios Ibarra, Manuel O, De Pablo, Carmen, De Pauw, Michel, Dela Llana, Alexander, Delibasic, Maja, Delic-Brkljacic, Diana, Demicheli, Thibaud, Denger, Ralf J, Desai, Devang, Desai, Piyush, Desouza, Cyrus V, Dicker, Dror, Djenic, Nemanja, Dobson, Simon, Doi, Masayuki, Doran, Jesse A, Dorman, Reinhart, Dotta, Francesco, Dukes, Carl E, Duronto, Ernesto, Durst, Ronen, Dvoryashina, Irina V, Ebrahim, Iftikhar O, Eggebrecht, Holger, Egstrup, Kenneth, Ekinci, Elif I, Eliasson, Björn, Eliasson, Ken, Enache, Georgiana, Enculescu, Dan, English, Patrick, Ermakova, Polina, Ershova, Olga, Ezaki, Hirotaka, Ezhov, Marat, Farias, Eduardo, Farias, Javier M, Farsky, Pedro S, Ferreira, Daniel, Filteau, Pierre, Finneran, Matthew P, Folkens, Eric M, Fonseca, Alberto G, Fonseca, Luisa, Fordan, Steven, Fourie, Nyda, França, Sara, Franco, Denise R, Franek, Edward, Friedman, Keith, Frittitta, Lucia, Froer, Michael, Fuckar, Krunoslav, Fujii, Kenshi, Fujita, Ryoko, Fukushima, Yasushi, Fulat, Mohamed, Fulwani, Mahesh, Gajos, Grzegorz, Galyavich, Albert, Gambill, Michael L, Gandotra, Dheeraj, Winston, Gandy, Jr., Garcia Hernandez, Pedro A, García Reza, Raymundo, Garg, Naveen, Garg, Sandeep, Garvey, William T, Garza, Juan C, Gatta-Cherifi, Blandine, Gelev, Valeri, Geller, Steven A, Geohas, Jeffrey G, Georgiev, Borislav, Ghazi, Adline, Gilbert, Matthew P, Gilinskaya, Olga, Gislason, Gunnar, Gogas Yavuz, Dilek, González Albarrán, Olga, Gordeev, Ivan G, Gorton, Sidney C, Goudev, Assen, Gretland Valderhaug, Tone, Groenemeijer, Bjorn, Gul, Ibrahim, Gullestad, Lars, Gurieva, Irina, Guseva, Galina N, Hagenow, Andreas, Haluzik, Martin, Halvorsen, Sigrun, Hammoudi, Naima, Hanaoka, Keiichi, Hancu, Nicolae, Hanusch, Ursula, Harris, Kathleen, Harris, Barry, Hartleib, Michael, Hartman, Aaron N, Hata, Yoshiki, Heimer, Brian, Herman, Lee, Herzog, William, Hewitt, Eric, Heymer, Peter, Hiremath, Shirish, Hjelmesaeth, Joeran, Høgalmen, Rasmus Geir, Høivik, Hans Olav, Holmer, Helene, Horoshko, Olha, Houser, Patricia M, Hove, Jens D, Hsieh, I-Chang, Hulot, Jean-Sébastien, Hussein, Zanariah, Ilashchuk, Tetiana, Ilveskoski, Erkki, Ipatko, Irina, Iranmanesh, Ali, Isawa, Tsuyoshi, Issa, Moises, Iteld, Bruce, Iwasawa, Takamasa, Jabbar, Danish, Jackson, Richard A, Jackson-Voyzey, Ewart, Jacob, Stephan, Jaffrani, Naseem A, Jardula, Michael F, Jastreboff, Ania, Jensen, Svend E, Jerkins, Terri, Jimenez-Ramos, Silvia A, Jitendra Pal Singh, Sawhney, Johnson, Wallace, Joyce, John M, Jozefowska, Malgorzata, Jugnundan, Prakash, Jungmair, Wolfgang, Jurowiecki, Jaroslaw, Kadokami, Toshiaki, Kahali, Dhiman, Kahrmann, Gerd, Kaiser, Sergio E, Kalmucki, Piotr, Kanadasi, Mehmet, Kandath, David, Kania, Grzegorz, Kannan, J, Kapp, Cornelia, Karczmarczyk, Agnieszka, Kartalis, Athanasios, Kaser, Susanne, Kasim, Sazzli Shahlan, Kastelic, Richard, Kato, Toshiaki, Katova, Tzvetana, Kaul, Upendra, Kautzky-Willer, Alexandra, Kawanishi, Masahiro, Kayikcioglu, Meral, Kazakova, Elena E, Keeling, Philip, Kempe, Hans-Peter, Kereiakes, Dean J, Kerneis, Mathieu, Keski-Opas, Tiina, Khadra, Suhail, Khaisheva, Larisa, Kharakhulakh, Marina, Khlevchuk, Tatiana, Khoo, Jeffrey, Kiatchoosakun, Songsak, Kinoshita, Noriyuki, Kinoshita, Masaharu, Kitamura, Ryoji, Kiyosue, Arihiro, Klavina, Irina, Klein, Eric J, Klimsa, Zdenek, Klonoff, David, Klug, Eric, Kobalava, Zhanna, Kodera, Satoshi, Koga, Tokushi, Kokkinos, Alexander, Koleckar, Pavel, Könyves, László, Koren, Michael J, Kormann, Adrian P, Kostner, Karam, Kreutzmann, Kristin, Krishinan, Saravanan, Krishnasamy, Sathya S, Krivosheeva, Inga, Kruljac, Ivan, Kubicki, Ted, Kuchar, Ladislav, Kujawiak, Monika, Kunishige, Hideyuki, Kurtinecz, Melinda, Kurtz Lisboa, Hugo R, Kushnir, Mykola, Kyyak, Yulian, Lace, Arija, Lakka, Timo, Lalic, Nebojsa, Lalic, Katarina, Lambadiari, Vaia, Lanaras, Leonidas, Lang, Chim, Langlois, Marie-France, Lash, Joseph, Latkovskis, Gustavs, Lau, David, Lazcano Soto, José Roberto, Le Roux, Carel, Ledesma, Gilbert N, Lee, Li Yuan, Lee, Thung-Lip, Lee, Kelvin, Lehrke, Michael, Leite, Silmara O, Leksycka, Agata, Lenzmeier, Thomas, Leonetti, Frida, Leonidova, Viktoriia, Lepor, Norman, Leung, Melissa, Levchenko, Olena, Levins, Peter, Levy, Louis J, Lewis, Matthew, Liberopoulos, Evangelos, Liberty, Idit, Lindholm, Carl-Johan, Lingvay, Ildiko, Linhart, Ales, Liu, Ming-En, Liu, Jenny, Lofton, Holly, Logemann, Timothy, Lombaard, Johannes J, Lombard, Landman, Lorraine, Richard, Lovell, Charles F, Ludvik, Bernhard, Lukaszewicz, Monika, Lupkovics, Géza, Lupovitch, Steven, Lupu, Sirona, Lynch, Mary, Lysak, Zoreslava, Lysenko, Tatyana A, Maeda, Hajime, Maeda, Itaru, Mæng, Michael, Mahajan, Ajay U, Maher, Vincent, Maia, Lilia N, Makotoko, Ellen M, Malavazos, Alexis, Malecha, Jan, Malicherova, Emilia, Manita, Mamoru, Mannucci, Edoardo, Mareev, Viacheslav, Marin, Liliana, Markova, Tatiana, Marso, Steven P, Martens, F.M.A.C., Martinez, Cuper, Martinez Cano, Carlos A, Martins, Cristina, Masmiquel Comas, Luis, Matsumoto, Takashi, Mcdonald, Kenneth, Mcgowan, Barbara, Mcgrew, Frank, Mclean, Barry K, Mcpherson, David D, Merino Torres, Juan Francisco, Meyers, Peter, Meyhöfer, Sebastian, Mezquita Raya, Pedro, Milanova, Maria, Milicic, Davor, Miller, Gary, Mills, Richard E, Mîndrescu, Nicoleta M, Mingrone, Geltrude, Minkova, Dotska A, Mirani, Marco, Miras, Alexander, Mistodie, Cristina V, Mitomo, Satoru, Mittal, Sanjay, Miyake, Taiji, Miyamoto, Naomasa, Molony, David, Monteiro, Pedro, Mooe, Thomas, Moosa, Naeem, Morales Portillo, Cristobal, Morales Villegas, Enrique C, Morawski, Emily J, Morbey, Claire, Morin, Robert P, Morisaki, Kuniaki, Morosanu, Magdalena, Mosenzon, Ofri, Mostovoy, Yuriy, Munir, Iqbal, Muratori, Fabrizio, Murray, Ryan, Murthy, Avinash, Myint, Min, Myshanych, Galyna, Nafornita, Valerica, Nagano, Takuya, Nair, Sunil, Nakhle, Samer N, Natsuaki, Masahiro, Nayak, Bindu M, Nibouche, Djamel Eddine, Nicholls, Stephen, Nicolau, José C, Nicolescu, Georgiana, Nierop, Peter, Niskanen, Leo, Ntaios, George, Nygård, Ottar Kjell, Oaks, Joshua B, Obrezan, Andrey, O'donnell, Philip, Oguri, Mitsutoshi, Oguzhan, Abdurrahman, Oh, Fumiki, Ohsugi, Mitsuru, Okada, Yoshio, Okayama, Hideki, Onaca, Adriana, Onaka, Haruhiko, Oneil, Patrick, Ong, Tiong Kiam, Ong, Stephen, Ono, Yasuhiro, Opsahl, Paul J, Ostrowska, Lucyna, Oviedo, Alejandra, Ozdogan, Oner, Ozpelit, Ebru, Pagkalos, Emmanouil, Pagotto, Uberto, Páll, Dénes, Pandey, Amritanshu- Shekhar, Parkhomenko, Oleksandr, Parvathareddy, Krishna Malakondareddy, Patel, Minesh B, Patsilinakos, Sotirios, Paul, Neil, Pedersen, Sue, Pereira, Isabel, Pereira, Edward Scott, Perez Terns, Paula, Perez-Vargas, Elba A, Pergaeva, Yulia, Perkelvald, Alexander, Peskov, Andrey B, Peter, Jonathan, Peters, Karina, Petit, Catherine, Petrov, Ivo, Philis-Tsimikas, Athena, Pietilä, Mikko, Pinto, Fausto, Piros, Annamária, Piyayotai, Dilok, Platonov, Dmitriy, Poirier, Paul, Pop, Lavinia, Popa, Bogdan, Pop-Busui, Rodica, Poremba, John, Porto, Alejandro, Postadzhiyan, Arman, Pothineni, Ramesh B, Potu, Ranganatha P, Powell, Talessa, Prafulla, Kerkar G, Prager, Rudolf, Prakova-Teneva, Zhulieta R, Pratley, Richard E, Price, Hermione, Pulka, Grazyna, Pullman, John, Punt, Zelda E, Purighalla, Raman S, Purnell, Peter, Qureshi, Mansoor, Rabasa-Lhoret, Remi, Raikhel, Marina A, Rancane, Gita, Randeva, Harpal, Rasouli, Neda, Reurean Pintilei, Delia V, Reyes, Ciro R, Rezgale, Inga, Rice, Eva, Riley, Thaddeus H, Risser, Joseph A, Ristic, Arsen, Rivas Fernández, Margarita, Robbins, David, Robitaille, Yves, Rodbard, Helena W, Rodriguez Plazas, Jaime A, Römer, T.J., Rosen, Glenn, Rosman, Dr Azhari, Rossi, Paulo, Rudenko, Leonid, Ruffin, Omari, Ruhani, Anwar Irawan, Runev, Nikolay, Ruyatkin, Dmitriy, Ruzic, Alen, Ryabov, Vyacheslav V, Rydén, Lars, Saggar, Suraj, Sakamoto, Tomohiro, Salter, Tim, Samal, Aditya K, Samoilova, Yulia, Sanabria, Hugo D, Sancak, Seda, Sangrigoli, Renee, Sansanayudh, Nakarin, Santini, Ferruccio, Saraiva, José F, Sardinov, Ruslan, Sargeant, William, Sari, Ramazan, Sathananthan, Airani, Sathyapalan, Thozhukat, Sato, Atsushi, Sauter, Joachim, Sbraccia, Paolo, Schaap, J., Schaum, Thomas, Schiele, François, Scott, John, Segal Lieberman, Gabriella, Segner, Alexander, Senior, Roxy, Sergeeva-Kondrachenko, Marina Y, Serota, Harvey, Serusclat, Pierre, Sethi, Rishi, Shah, Manoj K, Shah, Neerav, Shalaev, Sergey, Sharma, Raj, Sharma, Sumeet, Shaydyuk, Oksana, Shea, Heidi C, Shechter, Michael, Shehadeh, Naim, Shirazi, Mitra, Shlesinger, Yshay, Shneker, Ayham, Shutemova, Elena, Siasos, Gerasimos, Siddiqui, Imran A, Sidey, Jennifer, Sigal, Felix, Sime, Iveta, Singh, Narendra, Siraj, Elias, Sivalingam, Kanagaratnam, Skoczylas, Grzegorz, Smith, Stephen K, Smolenskaya, Olga, Snyder, Brian, Sofer, Yael, Sofley, C.W., Solano, Royce, Sonmez, Yusuf A, Sorokin, Maxim, Soto González, Alfonso, Sotolongo, Carlos, Soufer, Joseph, Soyluk Selcukbiricik, Ozlem, Spaic, Tamara, Spriggs, Douglas, Sreenan, Seamus, Stahl, Hans-Detlev, Stamatelopoulos, Kimon, Stanislavchuk, Mykola, Stankovic, Goran, Stasek, Josef, Steg, Gabriel, Steindorf, Joerg, Stephan, Dominique, Stewart, John, Still, Christopher, St-Maurice, Francois, Stogowska-Nikiciuk, Barbara, Stoker, Jeff, Stokic, Edita, Strzelecka, Anna, Sturm, Kerstin, Sueyoshi, Atsushi, Sugiura, Toshiyuki, Sultan, Senan, Suplotova, Lyudmila A, Suwanagool, Arisara, Suwanwalaikorn, Sompongse, Sveklina, Tatiana, Swanson, Neil, Swart, Henk, Swenson, Bradley P, Szyprowska, Ewa, Tait, Graeme, Takács, Róbert, Takeuchi, Yuzo, Tamirisa, Aparna, Tanaka, Hideki, Tatovic, Danijela, Tellier, Guy, Teragawa, Hiroki, Teterovska, Dace, Thomas, Nihal, Thuan, Jean-Francois, Tinahones, Francisco, Tisheva-Gospodinova, Snezhanka, Toarba, Cristina, Todoriuk, Liudmyla, Tokmakova, Mariya, Tonstad, Serena, Toplak, Hermann, Tran, Henry, Tripathy, Devjit, Trusau, Aliaksandr, Tsabedze, Nqoba, Tsougos, Elias, Tsoukas, George M, Tuccinardi, Dario, Tuna, Mazhar M, Turatti, Luiz A, Tziomalos, Konstantinos, Udommongkol, Chesda, Ueda, Osamu, Ukkola, Olavi, Unubol, Mustafa, Urbach, Dorothea, Urina Triana, Miguel A, Usdan, Lisa, Vaidya, Bijay, Vale, Noah, Vallieres, Gerald, Van Beek, Andre P, Van De Borne, Philippe, Van Der Walt, Eugene, Van Der Zwaan, C., Van Nieuwenhuizen, Elane, Van Zyl, Louis, Vanduynhoven, Philippe, Varghese, Kiron, Vasileva, Svetla P, Vassilev, Dobrin, Vathesatogkit, Prin, Velychko, Valentyna, Vercammen, Chris, Verges, Bruno, Verma, Subodh, Verwerft, Jan, Vesela, Alica, Veselovskaya, Nadezhda G, Vettor, Roberto, Veze, Irina, Vijan, Vinod, Vijayaraghavan, Ram, Villarino, Adriana, Vincent, Royce, Vinogradova, Oksana, Vishlitzky, Victor, Vlad, Adrian, Vladu, Ionela Mihaela, Vo, Anthony, Von Engelhardt, Charlotte, Von Münchhausen, Candy, Vorobyeva, Olga, Vossenberg, T., Vrolix, Mathias, Vukicevic, Marjana, Vyshnyvetskyy, Ivan, Wadvalla, Shahid, Wagner, Jan, Wakeling, John, Wallace, James, Wan Mohamed, Wan Mohd Izani, Wander, Gurpreet S, Ward, Kathleen, Warren, Mark L, Watanabe, Atsuyuki, Weber, Bruce, Weintraub, Howard, Weisnagel, John, Welker, James, Wendisch, Ulrich, Wenocur, Howard S, Wierum, Craig, Wilding, John, William, Maged, Wilson, Pete, Wilson, Jonathan P, Wong, Yuk-Ki, Wongcharoen, Wanwarang, Wozniak, Iwona, Wu, Chau-Chung, Wyatt, Nell, Wynne, Alan, Yamaguchi, Hiroshi, Yamasaki, Masahiro, Yazici, Dilek, Yeh, Hung-I, Yotov, Yoto, Yuan, Qingyang, Zacher, Jeffrey, Zagrebelnaya, Olga, Zaidman, Cesar J, Zalevskaya, Alsu, Zarich, Stuart, Zatelli, Maria Chiara, Zeller, Helga, Zhdanova, Elena A, Zornitzki, Taiba, Zrazhevskiy, Konstantin, Zykov, Mikhail, Lincoff, A Michael, Ryan, Donna H, Colhoun, Helen M, Deanfield, John E, Emerson, Scott S, Kahn, Steven E, Kushner, Robert F, Plutzky, Jorge, Brown-Frandsen, Kirstine, Hovingh, G Kees, Hardt-Lindberg, Soren, Tornøe, Christoffer W, Deanfield, John, Scirica, Benjamin M, Ryan, Donna, Kosiborod, Mikhail N, Hardt-Lindberg, Søren, Frenkel, Ofir, Weeke, Peter E, Rasmussen, Søren, Lang, Chim C, and Urina-Triana, Miguel

Published
2024
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6. Magnetic resonance imaging of mouse brain networks plasticity following motor learning

Author

Badea, Alexandra, Ng, Kwan L, Anderson, Robert J, Zhang, Jiangyang, Miller, Michael I, and O’Brien, Richard J

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Bioengineering, Biomedical Imaging, Rehabilitation, Neurological, Animals, Brain, Brain Mapping, Learning, Magnetic Resonance Imaging, Male, Mice, Mice, Inbred C57BL, Motor Skills, Nerve Net, Neuronal Plasticity, General Science & Technology
Abstract

We do not have a full understanding of the mechanisms underlying plasticity in the human brain. Mouse models have well controlled environments and genetics, and provide tools to help dissect the mechanisms underlying the observed responses to therapies devised for humans recovering from injury of ischemic nature or trauma. We aimed to detect plasticity following learning of a unilateral reaching movement, and relied on MRI performed with a rapid structural protocol suitable for in vivo brain imaging, and a longer diffusion tensor imaging (DTI) protocol executed ex vivo. In vivo MRI detected contralateral volume increases in trained animals (reachers), in circuits involved in motor control, sensory processing, and importantly, learning and memory. The temporal association area, parafascicular and mediodorsal thalamic nuclei were also enlarged. In vivo MRI allowed us to detect longitudinal effects over the ~25 days training period. The interaction between time and group (trained versus not trained) supported a role for the contralateral, but also the ipsilateral hemisphere. While ex vivo imaging was affected by shrinkage due to the fixation, it allowed for superior resolution and improved contrast to noise ratios, especially for subcortical structures. We examined microstructural changes based on DTI, and identified increased fractional anisotropy and decreased apparent diffusion coefficient, predominantly in the cerebellum and its connections. Cortical thickness differences did not survive multiple corrections, but uncorrected statistics supported the contralateral effects seen with voxel based volumetric analysis, showing thickening in the somatosensory, motor and visual cortices. In vivo and ex vivo analyses identified plasticity in circuits relevant to selecting actions in a sensory-motor context, through exploitation of learned association and decision making. By mapping a connectivity atlas into our ex vivo template we revealed that changes due to skilled motor learning occurred in a network of 35 regions, including the primary and secondary motor (M1, M2) and sensory cortices (S1, S2), the caudate putamen (CPu), visual (V1) and temporal association cortex. The significant clusters intersected tractography based networks seeded in M1, M2, S1, V1 and CPu at levels > 80%. We found that 89% of the significant cluster belonged to a network seeded in the contralateral M1, and 85% to one seeded in the contralateral M2. Moreover, 40% of the M1 and S1 cluster by network intersections were in the top 80th percentile of the tract densities for their respective networks. Our investigation may be relevant to studies of rehabilitation and recovery, and points to widespread network changes that accompany motor learning that may have potential applications to designing recovery strategies following brain injury.

Published
2019

9. Global patterns of kelp forest change over the past half-century

Author

Krumhansl, Kira A, Okamoto, Daniel K, Rassweiler, Andrew, Novak, Mark, Bolton, John J, Cavanaugh, Kyle C, Connell, Sean D, Johnson, Craig R, Konar, Brenda, Ling, Scott D, Micheli, Fiorenza, Norderhaug, Kjell M, Pérez-Matus, Alejandro, Sousa-Pinto, Isabel, Reed, Daniel C, Salomon, Anne K, Shears, Nick T, Wernberg, Thomas, Anderson, Robert J, Barrett, Nevell S, Buschmann, Alejandro H, Carr, Mark H, Caselle, Jennifer E, Derrien-Courtel, Sandrine, Edgar, Graham J, Edwards, Matt, Estes, James A, Goodwin, Claire, Kenner, Michael C, Kushner, David J, Moy, Frithjof E, Nunn, Julia, Steneck, Robert S, Vásquez, Julio, Watson, Jane, Witman, Jon D, and Byrnes, Jarrett EK

Subjects
Life on Land, Arctic Regions, Climate Change, Ecosystem, Forests, Kelp, Oceans and Seas, kelp forest, Laminariales, global change, climate change, coastal ecosystems
Abstract

Kelp forests (Order Laminariales) form key biogenic habitats in coastal regions of temperate and Arctic seas worldwide, providing ecosystem services valued in the range of billions of dollars annually. Although local evidence suggests that kelp forests are increasingly threatened by a variety of stressors, no comprehensive global analysis of change in kelp abundances currently exists. Here, we build and analyze a global database of kelp time series spanning the past half-century to assess regional and global trends in kelp abundances. We detected a high degree of geographic variation in trends, with regional variability in the direction and magnitude of change far exceeding a small global average decline (instantaneous rate of change = -0.018 y-1). Our analysis identified declines in 38% of ecoregions for which there are data (-0.015 to -0.18 y-1), increases in 27% of ecoregions (0.015 to 0.11 y-1), and no detectable change in 35% of ecoregions. These spatially variable trajectories reflected regional differences in the drivers of change, uncertainty in some regions owing to poor spatial and temporal data coverage, and the dynamic nature of kelp populations. We conclude that although global drivers could be affecting kelp forests at multiple scales, local stressors and regional variation in the effects of these drivers dominate kelp dynamics, in contrast to many other marine and terrestrial foundation species.

Published
2016

11. High-resolution hybrid micro-CT imaging pipeline for mouse brain region segmentation and volumetric morphometry.

Author

Nadkarni, Rohan, Han, Zay Yar, Anderson, Robert J., Allphin, Alex J., Clark, Darin P., Badea, Alexandra, and Badea, Cristian T.

Subjects
X-ray computed microtomography, ENTORHINAL cortex, MORPHOMETRICS, CINGULATE cortex, BRAIN imaging, ALZHEIMER'S disease
Abstract

Background: Brain region segmentation and morphometry in humanized apolipoprotein E (APOE) mouse models with a human NOS2 background (HN) contribute to Alzheimer's disease (AD) research by demonstrating how various risk factors affect the brain. Photon-counting detector (PCD) micro-CT provides faster scan times than MRI, with superior contrast and spatial resolution to energy-integrating detector (EID) micro-CT. This paper presents a pipeline for mouse brain imaging, segmentation, and morphometry from PCD micro-CT. Methods: We used brains of 26 mice from 3 genotypes (APOE22HN, APOE33HN, APOE44HN). The pipeline included PCD and EID micro-CT scanning, hybrid (PCD and EID) iterative reconstruction, and brain region segmentation using the Small Animal Multivariate Brain Analysis (SAMBA) tool. We applied SAMBA to transfer brain region labels from our new PCD CT atlas to individual PCD brains via diffeomorphic registration. Region-based and voxel-based analyses were used for comparisons by genotype and sex. Results: Together, PCD and EID scanning take ~5 hours to produce images with a voxel size of 22 μm, which is faster than MRI protocols for mouse brain morphometry with voxel size above 40 μm. Hybrid iterative reconstruction generates PCD images with minimal artifacts and higher spatial resolution and contrast than EID images. Our PCD atlas is qualitatively and quantitatively similar to the prior MRI atlas and successfully transfers labels to PCD brains in SAMBA. Male and female mice had significant volume differences in 26 regions, including parts of the entorhinal cortex and cingulate cortex. APOE22HN brains were larger than APOE44HN brains in clusters from the hippocampus, a region where atrophy is associated with AD. Conclusions: This work establishes a pipeline for mouse brain analysis using PCD CT, from staining to imaging and labeling brain images. Our results validate the effectiveness of the approach, setting a foundation for research on AD mouse models while reducing scanning durations. [ABSTRACT FROM AUTHOR]

Published
2024
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15. A new research strategy for integrating studies of paleoclimate, paleoenvironment, and paleoanthropology

Author

Marean, Curtis W, Anderson, Robert J, Bar-Matthews, Miryam, Braun, Kerstin, Cawthra, Hayley C, Cowling, Richard M, Engelbrecht, Francois, Esler, Karen J, Fisher, Erich, Franklin, Janet, Hill, Kim, Janssen, Marco, Potts, Alastair J, and Zahn, Rainer

Subjects
Archaeology, Anthropology, History, Heritage and Archaeology, Human Society, Climate Action, Animals, Biological Evolution, Climate, Environment, Humans, Models, Theoretical, Paleontology, Research Design, paleoanthropology, paleoclimates, agent based model, behavioral ecology, foraging theory, Evolutionary Biology, Social Work, Ecology, Development studies, Social work
Abstract

Paleoanthropologists (scientists studying human origins) universally recognize the evolutionary significance of ancient climates and environments for understanding human origins. Even those scientists working in recent phases of human evolution, when modern humans evolved, agree that hunter-gatherer adaptations are tied to the way that climate and environment shape the food and technological resource base. The result is a long tradition of paleoanthropologists engaging with climate and environmental scientists in an effort to understand if and how hominin bio-behavioral evolution responded to climate and environmental change. Despite this unusual consonance, the anticipated rewards of this synergy are unrealized and, in our opinion, will not reach potential until there are some fundamental changes in the way the research model is constructed. Discovering the relation between climate and environmental change to human origins must be grounded in a theoretical framework and a causal understanding of the connection between climate, environment, resource patterning, behavior, and morphology, then move beyond the strict correlative research that continues to dominate the field.

Published
2015

17. Patterns and drivers of species diversity in the Indo-Pacific red seaweed Portieria

Author

Leliaert, Frederik, Payo, Dioli Ann, Gurgel, Carlos Frederico D., Schils, Tom, Draisma, Stefano G. A., Saunders, Gary W., Kamiya, Mitsunobu, Sherwood, Alison R., Lin, Showe-Mei, Huisman, John M., Le Gall, Line, Anderson, Robert J., Bolton, John J., Mattio, Lydiane, Zubia, Mayalen, Spokes, Tracey, Vieira, Christophe, Payri, Claude E., Coppejans, Eric, D'hondt, Sofie, Verbruggen, Heroen, and De Clerck, Olivier

Published
2018

23. Accelerated Brain Atrophy, Microstructural Decline and Connectopathy in Age-Related Macular Degeneration.

Author

Stout, Jacques A., Mahzarnia, Ali, Dai, Rui, Anderson, Robert J., Cousins, Scott, Zhuang, Jie, Lad, Eleonora M., Whitaker, Diane B., Madden, David J., Potter, Guy G., Whitson, Heather E., and Badea, Alexandra

Subjects
MACULAR degeneration, CEREBRAL atrophy, LARGE-scale brain networks, CINGULATE cortex, DIFFUSION magnetic resonance imaging
Abstract

Age-related macular degeneration (AMD) has recently been linked to cognitive impairment. We hypothesized that AMD modifies the brain aging trajectory, and we conducted a longitudinal diffusion MRI study on 40 participants (20 with AMD and 20 controls) to reveal the location, extent, and dynamics of AMD-related brain changes. Voxel-based analyses at the first visit identified reduced volume in AMD participants in the cuneate gyrus, associated with vision, and the temporal and bilateral cingulate gyrus, linked to higher cognition and memory. The second visit occurred 2 years after the first and revealed that AMD participants had reduced cingulate and superior frontal gyrus volumes, as well as lower fractional anisotropy (FA) for the bilateral occipital lobe, including the visual and the superior frontal cortex. We detected faster rates of volume and FA reduction in AMD participants in the left temporal cortex. We identified inter-lingual and lingual–cerebellar connections as important differentiators in AMD participants. Bundle analyses revealed that the lingual gyrus had a lower streamline length in the AMD participants at the first visit, indicating a connection between retinal and brain health. FA differences in select inter-lingual and lingual cerebellar bundles at the second visit showed downstream effects of vision loss. Our analyses revealed widespread changes in AMD participants, beyond brain networks directly involved in vision processing. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Four-component full configuration interaction quantum Monte Carlo for relativistic correlated electron problems.

Author

Anderson, Robert J. and Booth, George H.

Subjects
*MONTE Carlo method, *HEAVY elements, *HILBERT space, *ALGORITHMS, *SPINORS, *RELATIVISTIC electrons, *TIN oxides
Abstract

An adaptation of the full configuration interaction quantum Monte Carlo (FCIQMC) method is presented for correlated electron problems containing heavy elements and the presence of significant relativistic effects. The modified algorithm allows for the sampling of the four-component spinors of the Dirac–Coulomb(–Breit) Hamiltonian within the relativistic no-pair approximation. The loss of spin symmetry and the general requirement for complex-valued Hamiltonian matrix elements are the most immediate considerations in expanding the scope of FCIQMC into the relativistic domain, and the alternatives for their efficient implementation are motivated and demonstrated. For the canonical correlated four-component chemical benchmark application of thallium hydride, we show that the necessary modifications do not particularly adversely affect the convergence of the systematic (initiator) error to the exact correlation energy for FCIQMC calculations, which is primarily dictated by the sparsity of the wavefunction, allowing the computational effort to somewhat bypass the formal increases in Hilbert space dimension for these problems. We apply the method to the larger problem of the spectroscopic constants of tin oxide, correlating 28 electrons in 122 Kramers-paired spinors, finding good agreement with experimental and prior theoretical relativistic studies. [ABSTRACT FROM AUTHOR]

Published
2020
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28. NECI: N-Electron Configuration Interaction with an emphasis on state-of-the-art stochastic methods.

Author

Guther, Kai, Anderson, Robert J., Blunt, Nick S., Bogdanov, Nikolay A., Cleland, Deidre, Dattani, Nike, Dobrautz, Werner, Ghanem, Khaldoon, Jeszenszki, Peter, Liebermann, Niklas, Manni, Giovanni Li, Lozovoi, Alexander Y., Luo, Hongjun, Ma, Dongxia, Merz, Florian, Overy, Catherine, Rampp, Markus, Samanta, Pradipta Kumar, Schwarz, Lauretta R., and Shepherd, James J.

Subjects
*DENSITY matrices, *EXCITED state energies, *GREEN'S functions, *GROUND state energy, *CENTRAL processing units, *ALGORITHMS
Abstract

We present NECI, a state-of-the-art implementation of the Full Configuration Interaction Quantum Monte Carlo (FCIQMC) algorithm, a method based on a stochastic application of the Hamiltonian matrix on a sparse sampling of the wave function. The program utilizes a very powerful parallelization and scales efficiently to more than 24 000 central processing unit cores. In this paper, we describe the core functionalities of NECI and its recent developments. This includes the capabilities to calculate ground and excited state energies, properties via the one- and two-body reduced density matrices, as well as spectral and Green's functions for ab initio and model systems. A number of enhancements of the bare FCIQMC algorithm are available within NECI, allowing us to use a partially deterministic formulation of the algorithm, working in a spin-adapted basis or supporting transcorrelated Hamiltonians. NECI supports the FCIDUMP file format for integrals, supplying a convenient interface to numerous quantum chemistry programs, and it is licensed under GPL-3.0. [ABSTRACT FROM AUTHOR]

Published
2020
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29. Efficient and stochastic multireference perturbation theory for large active spaces within a full configuration interaction quantum Monte Carlo framework.

Author

Anderson, Robert J., Shiozaki, Toru, and Booth, George H.

Subjects
*PERTURBATION theory, *QUANTUM perturbations, *MONTE Carlo method, *CHEMICAL energy, *SPACE
Abstract

Full Configuration Interaction Quantum Monte Carlo (FCIQMC) has been effectively applied to very large configuration interaction (CI) problems and was recently adapted for use as an active space solver and combined with orbital optimization. In this work, we detail an approach within FCIQMC to allow for efficient sampling of fully internally contracted multireference perturbation theories within the same stochastic framework. Schemes are described to allow for the close control over the resolution of stochastic sampling of the effective higher-body intermediates within the active space. It is found that while complete active space second-order perturbation theory seems less amenable to a stochastic reformulation, strongly contracted N-Electron Valence second-order Perturbation Theory (NEVPT2) is far more stable, requiring a similar number of walkers to converge the sc-NEVPT2 expectation values as to converge the underlying CI problem. We demonstrate the application of the stochastic approach to the computation of sc-NEVPT2 within a (24, 24) active space in a biologically relevant system and show that small numbers of walkers are sufficient for a faithful sampling of the sc-NEVPT2 energy to chemical accuracy, despite the active space already exceeding the limits of practicality for traditional approaches. This raises prospects of an efficient stochastic solver for multireference chemical problems requiring large active spaces, with an accurate treatment of external orbitals. [ABSTRACT FROM AUTHOR]

Published
2020
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31. Remote Sensing Low Signal-to-Noise-Ratio Target Detection Enhancement.

Author

Ma, Tian J. and Anderson, Robert J.

Subjects
*REMOTE sensing, *DIGITAL divide, *VIDEO surveillance, *DETECTION limit, *DETECTORS
Abstract

In real-time remote sensing application, frames of data are continuously flowing into the processing system. The capability of detecting objects of interest and tracking them as they move is crucial to many critical surveillance and monitoring missions. Detecting small objects using remote sensors is an ongoing, challenging problem. Since object(s) are located far away from the sensor, the target's Signal-to-Noise-Ratio (SNR) is low. The Limit of Detection (LOD) for remote sensors is bounded by what is observable on each image frame. In this paper, we present a new method, a "Multi-frame Moving Object Detection System (MMODS)", to detect small, low SNR objects that are beyond what a human can observe in a single video frame. This is demonstrated by using simulated data where our technology-detected objects are as small as one pixel with a targeted SNR, close to 1:1. We also demonstrate a similar improvement using live data collected with a remote camera. The MMODS technology fills a major technology gap in remote sensing surveillance applications for small target detection. Our method does not require prior knowledge about the environment, pre-labeled targets, or training data to effectively detect and track slow- and fast-moving targets, regardless of the size or the distance. [ABSTRACT FROM AUTHOR]

Published
2023
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32. The reinstatement of Plocamium robertiae (Rhodophyta, Plocamiales) and an updated species inventory of the genus in South Africa.

Author

Reddy, Maggie M., du Plessis, Jamie, Roodt-Wilding, Rouvay, Anderson, Robert J., and Bolton, John J.

Subjects
BIOLOGICAL classification, NUMBERS of species, SPECIES, CERAMIALES, RED algae
Abstract

The morphologically diverse and widespread red algal genus Plocamium has recently emerged as a source of bioactive compounds with potential application in the pharmaceutical industry. However, species identification and the taxonomy of the group remains problematic. An initial contribution to the taxonomy of Plocamium in South Africa was therefore carried out using combined morphological and molecular approaches and existing literature. Plocamium robertiae is reinstated as a distinct species based on molecular and morphological evidence, while Plocamium raphelisianum, a species from Spain, is placed in synonymy with P. suhrii. Along the South African coast, individuals of P. suhrii were genetically divergent in different bioregions and will require further investigation. Contrary to previous reports, we confirm the absence in South Africa of two Australasian species, P. microcladioides and P. mertensii, which were previosuly misidentified. The latter species likely represents a new, undescribed species in South Africa. Two additional species were also identified based on DNA but require further morphological assessment. We now recognize P. robertiae, along with eight other named species, plus five additional taxa, with varying levels of taxonomic confidence, and exclude P. microcladioides and P. mertensii from the South African flora. This study doubles the number of species recognized since the last biodiversity assessment of Plocamium and expands the distributional range of P. suhrii. Although our findings contribute an initial assessment assisted by DNA data, a full understanding of the taxonomy of Plocamium in South Africa is far from complete. [ABSTRACT FROM AUTHOR]

Published
2023
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